Statistical approach to metabonomic analysis of rat urine following surgical trauma

Journal of Chemometrics

Volumn 20, Issue 3-4, 2006, Pages 87-98

  Ghosh, Samiran ^a   Hill, Dennis W ^a   Petty, Nathan M ^b   Melchert, Russell B ^b   Luo, Belinda ^a   Grant, David F ^a   Dey, Dipak K ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b UNIVERSITY OF ARKANSAS FOR MEDICAL SCIENCES   (United States)

Author keywords

Classification; Logistic regression; Markov Chain Monte Carlo; Mass spectrometer; Metabonomics; Partial least square; Principal component analysis

Indexed keywords

BAYESIAN NETWORKS; MARKOV PROCESSES; METABOLITES; PHYSIOLOGICAL MODELS; RATS; REGRESSION ANALYSIS; SURGERY;

LOGISTICS REGRESSIONS; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; METABONOMIC ANALYSIS; METABONOMICS; PARTIAL LEAST-SQUARES; PRINCIPAL-COMPONENT ANALYSIS; RAT URINE; STATISTICAL APPROACH; SURGICAL TRAUMATA;

PRINCIPAL COMPONENT ANALYSIS;

EID: 34247212841     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.972     Document Type: Article

References (17)

1. Anderson RN, Smith BL. Deaths: leading causes for 2001. National Vital Stat. Rep. 2003; 52(9): 1-85.
2. Kuhls DA, Malone DL, McCarter RJ, Napolitano LM. Predictors of mortality in adult trauma patients: the physiologic trauma score is equivalent to the trauma and injury severity score. J. Am. Coll. Surg. 2002; 194(6): 695-704.
3. Regel G, Grotz M, Weltner T, Sturm JA, Tscherne H. Pattern of organ failure following severe trauma. World J. Surg. 1996; 20(4): 422-429.
4. Nicholson JK, Lindon JC, Holmes E. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica 1999; 29(11): 1181-1189.
5. Jansen JJ, Huub CJH, Hans FMB, Greef JVD, Smilde AK. Analysis of longitudinal metabolomics data. Bioinform. Adv. Acc. 2004; 20(15); 2438-2446.
6. Plumb RS, Stumpf CL, Granger JH, Castro-Perez J, Haselden JN, Dear GJ. Use of liquid chromatography/time-of-flight mass spectrometry and multivariate statistical analysis shows promise for the detection of drug metabolites in biological fluids. Rapid Commun. Mass Spectrom. 2003; 17(23): 2632-2638.
7. Plumb R, Granger J, Stumpf C, Wilson ID, Evans JA, Lenz EM. Metabonomic analysis of mouse urine by liquid-chromatography-time of flight mass spectrometry (LC-TOFMS): detection of strain, diurnal and gender differences. Analyst 2003; 128(7): 819-823.
8. Plumb RS, Stumpf CL, Gorenstein MV, Castro-Perez JM, Dear GJ, Anthony M, Sweatman BC, Connor SC, Haselden JN. Metabonomics: the use of electrospray mass spectrometry coupled to reversed-phase liquid chromatography shows potential for the screening of rat urine in drug development. Rapid Commun. Mass Spectrom. 2002; 16(20): 1991-1996.
9. Greenblatt DJ, Ransil BJ, Harmatz JS, Smith TW, Duhme DW, Koch-Weser J. Variability of 24-hour urinary creatinine excretion by normal subjects. J. Clin. Pharmacol. 1976; 16(7): 321-328.
10. Vlahou A, Schorge JO, Gregory BW, Coleman RL. Diagnosis of ovarian cancer using decision tree classification of mass spectral data. J. Biomed. Biotechnol. 2003(5): 308-314.
11. Johnson RA, Wichern DW. Applied Multivariate Statistical Analysis (4th edn). Prentice-Hall: NJ, 1998.
12. Jolliffe IT. Principal Component Analysis, (2nd edn). Springer-Verlag: NY, 2002.
13. Höskulden A. PLS regression methods. J. Chemometr. 1998; 2: 211-228.
14. Nguyen DV, Rocke DM. Tumor classification by partial least squares using microarray gene expression data. Bioinformatics 2002; 18(1): 39-50.
15. Gelfand AE, Smith AFM. Sampling based approaches to calculating marginal densities. J. Amer. Stat. Assn. 1990; 85: 398-409.
16. Smith B. 2004. Bayesian Output Analysis Program, http://www.public- health.uiowa.edu/boa/
17. Vapnik VN. Statistical Learning Theory. Wiley: NY, 1998.